Using a sample of size n = 501, Y is regressed against X. The fraction of the variation in Y explained by the linear relationship between X and Y is 0.5. The sum of the squares of the deviations of the actual Y-values from their mean is 900,000. What is the standard deviation of the predicted Y-values?
Added by Dylan M.
Step 1
- Sample size, \( n = 501 \) - Coefficient of determination, \( R^2 = 0.5 \) - Total sum of squares (SST), \( \sum (Y_i - \bar{Y})^2 = 900,000 \) Show more…
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